I am Venkat, a Supply Chain professional exploring the intersection of Logistics, Python, and AI.
This lab is a personal technical space for ‘Art of the Possible’ tinkering. I focus on raw supply chain problems, technical architecture/API logic, and specific benefits—without the hype or jargon.
Current Focus Areas
- Agentic Rerouting: Utilizing Python and NVIDIA cuOpt for real-time logistics optimization.
- Federated Learning: Architecting secure, decentralized data sharing for SCM.
- Visualizing Logic: Transitioning legacy spreadsheet workflows into autonomous agentic systems.
100 Projects: Art of the Possible Tracker
| Project # | Raw Problem | Technical Architecture | Benefit |
|---|---|---|---|
| 001 | Port Congestion | Python + NVIDIA cuOpt + Weather API | 15% Drayage cost reduction via real-time rerouting. |
| 002 | Demand Volatility | Prophet + Agentic Forecasting | Reduced safety stock by 10% without service hits. |